To Assess the Performance of EAHC Algorithm Using Sensor Discrimination Dataset for the Improvement of Data Mining System

Authors

  • K.Thulasiram  Research Scholar Department of Computer Science, Sri Venkateswara University, Tirupati, Andhra Pradesh, India
  • Dr. S. Ramakrishna  Professor, Department of Computer Science, Sri Venkateswara University, Tirupati, Andhra Pradesh, India
  • Dr. M. Jayakameswaraiah  Assistant Professor, School of Computer Science and Applications, Reva University, Bangalore, Karnataka, India

Keywords:

Clustering algorithms, Data Mining, Hierarchical Clustering and Enhanced Agglomerative Hierarchical Clustering (EAHC) algorithm

Abstract

The process of grouping a set of physical or intangible objects into classes of similar objects is called clustering. A cluster is a group of data objects that are related to one another within the similar cluster and are dissimilar to the objects in other clusters. It is suitable method for the innovation of data distribution and patterns the fundamental data. There are various clustering methods in data mining system, such as hierarchical clustering method. Most of the approaches to the clustering of variables encountered in the literature are of hierarchical category. This research work represents comprehensive discussion on the performance of our proposed Enhanced Agglomerative Hierarchical Clustering algorithm. This experiential evaluation shows that Enhanced Agglomerative Hierarchical Clustering (EAHC) algorithm contributes decent performance and decreases the runtime of construction by several orders of size, while generating stable and quality hierarchies.

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2018-02-28

Issue

Volume 3, Issue 1, January-February-2018

Section

Research Articles

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How to Cite

[1]
K.Thulasiram, Dr. S. Ramakrishna, Dr. M. Jayakameswaraiah, " To Assess the Performance of EAHC Algorithm Using Sensor Discrimination Dataset for the Improvement of Data Mining System, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 1, pp.1141-1146, January-February-2018.